Completed Materials & Manufacturing Chemistry

Dial-up Engineered Microstructures for Advanced Additively Manufactured Metals (DEMAMM)

In plain English

AI plain-English summary

A new facility will let engineers reach inside a 3D metal printer and control how the metal grains form as the part is built—something current commercial machines cannot do. Metal 3D printing works by melting fine powder with a laser, layer by layer. But the metal’s final strength, toughness, and durability depend on the size and shape of its microscopic grains, which are set during that rapid heating and cooling. Today’s printers offer little control over this process. This equipment bid funds two custom instruments that let researchers adjust heating and cooling rates during printing, and even add other materials via inkjet printing to change the metal’s composition or create nanocomposites. A third instrument monitors the build in real time, feeding back data to correct defects as they form. If successful, the facility could produce metal parts with tailored properties—strong where needed, tough where not—without post-processing. That matters for hip implants that must not crack, and for aerospace fuel injectors that must survive extreme temperatures. The work is applied: it directly targets industrial manufacturing bottlenecks. It does not address fundamental questions about metal physics, but it gives engineers the tool to turn that existing knowledge into reliable, high-performance components.

View original technical description
This strategic equipment bid is for a facility to unlock the ability to understand control and manipulate metal components that are manufactured by a method called metallic laser powder bed fusion, a type of Additive Manufacturing technique, more well known as 3D Printing. The two instruments and will provide a degree of flexibility not available in commercially available equipment, that is now used in a wide range of industries, including healthcare (i.e. hip implants) or aerospace components, (i.e. fuel injectors on GE Leap engines). The flexibility offered provides scientists and engineers the ability to change parameters to modify how the metal powders within the machine heat up and solidify. Controlling this heat treatment within the machine provides further control on how the metal performs later in service, through controlling the metals grain size, shape and direction, otherwise known as it's microstructure. Small fine grains characterise hard, strong materials, whereas larger grain sizes provide greater toughness and ductility. Coupling this capability of modifying the heating and cooling of components with the ability to add in other materials through inkjet printing we can also control the components composition. Again, this provides more control to the engineer, giving the ability to change the materials crystal structure, it's constituents and even to produce nano-composites within a metal framework. The third and final element of this bid is that of monitoring the build during manufacture, this can provide real time information on the component's structure as it's being built, enabling a feedback loop to control any defects that might occur within the build and therefore make sure that everything coming off the machine is in specification.

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Researchers

Adam Clare (Co-Investigator)Christopher Tuck (Principal Investigator)Marco Simonelli (Co-Investigator)Matthew Clark (Co-Investigator)Nesma Aboulkhair (Co-Investigator)Paul Brown (Co-Investigator)Richard Hague (Co-Investigator)Richard Smith (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Data-driven, Reliable, and Effective Additive Manufacturing using multi-BEAM technologies (DREAM BEAM)
High Deposition Rate Additive Manufacture of Complex Metal Parts (HiDepAM)
Metelled – METal Evolved by Linear LasEr Deposition
PROMETHEUS: Enabling a Data Rich Additive Manufacturing Process
Diode area melting - a novel re-configurable multi-laser approach for efficient additive manufacturing with enhanced thermal process control

Original classification

Research Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.